Evidence map›Paper›PMID 41187750›Full record

ArticleCell reports methods2025

DiffHiChIP: Identifying differential chromatin contacts from HiChIP data.

Sourya Bhattacharyya, Daniela Salgado Figueroa, Katia Georgopoulos, Ferhat Ay

Abstract read
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sourya BhattacharyyaLa Jolla Institute for Immunology, La Jolla, CA 92037, USA. Electronic address: souryabhatta.cs@gmail.com.
Daniela Salgado FigueroaLa Jolla Institute for Immunology, La Jolla, CA 92037, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA.
Katia GeorgopoulosCutaneous Biology Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.
Ferhat AyLa Jolla Institute for Immunology, La Jolla, CA 92037, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: ferhatay@lji.org.

Funding

Ikaros regulation: Study on hemolymphopoiesisR01HL140622 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KATIA GEORGOPOULOS · 2017 to 2026
$6.1M
Studying the function of human genetic variation in the light of 3D genome organizationR35GM128938 · NIGMS · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Ferhat Ay · 2018 to 2026
$4.6M
Epigenetic regulation of epidermal homeostasisR01AR064390 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI GEORGOPOULOS, KATIA · 2013 to 2013
$337k
REGULATION OF CD3D GENE BY T TRANSCRIPTION FACTOR IKAROSR01AI033062 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI GEORGOPOULOS, KATIA · 1993 to 2000
$248k
NHLBI NIH HHS R01 HL140622NIAID NIH HHS R01 AI033062NIAMS NIH HHS R01 AR064390NIGMS NIH HHS R35 GM128938
6 · The paper itself

Abstract

Chromosome conformation capture (3C) assays such as HiChIP are widely used to study interactions between cis-regulatory and structural elements. However, robust methods for detecting condition-specific loops remain limited. We introduce DiffHiChIP, the first comprehensive framework to call differential loops from HiChIP and similar 3C protocols. DiffHiChIP supports DESeq2 and edgeR using either a complete contact map or a subset of contacts for background estimation, incorporates edgeR with generalized linear model (GLM) using either quasi-likelihood F test or likelihood ratio test, and implements independent hypothesis weighting (IHW) as well as a distance stratification technique for modeling distance decay of contacts in estimating statistical significance. Our results on five datasets suggest that edgeR GLM-based models with IHW correction reliably capture differential interactions, including long-range interactions, that are supported by published Hi-C data and reference studies. As HiChIP data become increasingly used for modeling chromatin regulation, DiffHiChIP promises to have a broad impact and utility.

Indexed as

ChromatinHumansChromatin3D genome organizationchromatin loopingCP: computational biologyCP: geneticsdifferential analysisdifferential loopsHiChIP

Identifiers

PMID41187750
PMCPMC12664890

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.